Intelligent Protection Stock Forward View - Polynomial Regression
| IPM Stock | 1.65 -0.03 -1.79% |
Intelligent Protection Management's Polynomial Regression reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Polynomial Regression forecasted value of Intelligent Protection Management on the next trading day is expected to be 1.80 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.15.A single variable polynomial regression model attempts to put a curve through the Intelligent Protection historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm All Polynomial Regression forecast figures shown for Intelligent Protection Management are reference data reflecting model output based on available historical prices. Polynomial Regression Price Forecast For the 25th of March
Given 90 days horizon, the Polynomial Regression forecasted value of Intelligent Protection Management on the next trading day is expected to be 1.80 with a mean absolute deviation of 0.05 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.15 .Please note that although there have been many attempts to predict Intelligent Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Intelligent Protection's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Intelligent Protection | Intelligent Protection Price Prediction | Research Analysis |
Forecasted Value
Forecasting Intelligent Protection Management for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The current forecast range spans downside near 0.02 and upside near 5.20.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Intelligent Protection stock data series using in forecasting. Note that when a statistical model is used to represent Intelligent Protection stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 113.1828 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0516 |
| MAPE | Mean absolute percentage error | 0.0288 |
| SAE | Sum of the absolute errors | 3.1505 |
Other Forecasting Options for Intelligent Protection
Bollinger Bands applied to Intelligent Stock price data measure how far Intelligent has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Intelligent Protection's price data.Intelligent Protection Related Equities
The stocks listed below are peers of Intelligent Protection within the Communication Services space and offer context for ranking and strength. Growth rate gaps between Intelligent Protection and its peers often explain pricing differences in the market.
| Risk & Return | Correlation |
Intelligent Protection Market Strength Events
For investors tracking Intelligent Protection Management, market strength indicators offer quantitative evaluation of stock behavior. These indicators add context to timing decisions around Intelligent Protection Management positions.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 1.65 | |||
| Day Typical Price | 1.65 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | -0.03 | |||
| Relative Strength Index | 46.03 |
Intelligent Protection Risk Indicators
Analyzing Intelligent Protection's basic risk indicators provides investors with a structured view of the risk-return trade-off for intelligent stock. By identifying the level of risk embedded in Intelligent Protection's investment, investors can make informed decisions about position sizing.
| Mean Deviation | 1.71 | |||
| Standard Deviation | 3.26 | |||
| Variance | 10.65 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Intelligent Protection
A coverage review of Intelligent Protection Management shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.
Contributor Headline
Latest Perspective From Macroaxis
Intelligent Protection Short Properties
Short-interest signals around Intelligent Protection Management can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
| Common Stock Shares Outstanding | 4 M | |
| Cash And Short Term Investments | 6.6 M |